Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 16B/236B | 8B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 128k | — |
| Overview | ||
| Company | DeepSeek | NVIDIA |
| Release date | Jun 17 2024 | Oct 23 2026 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek Coder V2vsClaude Haiku 5.5Nemotron 3.5 Bolt E4B 4GBvsClaude Haiku 5.5DeepSeek Coder V2vsGPT-6.1 SolNemotron 3.5 Bolt E4B 4GBvsGPT-6.1 SolDeepSeek Coder V2vsGemini 4 ArgonNemotron 3.5 Bolt E4B 4GBvsGemini 4 ArgonDeepSeek Coder V2vsMuse Spark OpenNemotron 3.5 Bolt E4B 4GBvsMuse Spark OpenDeepSeek Coder V2vsGrok 4.7Nemotron 3.5 Bolt E4B 4GBvsGrok 4.7DeepSeek Coder V2vsMistral Large 4Nemotron 3.5 Bolt E4B 4GBvsMistral Large 4Frequently asked questions
DeepSeek Coder V2 and Nemotron 3.5 Bolt E4B 4GB don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek Coder V2 shipped 858 days before Nemotron 3.5 Bolt E4B 4GB, so benchmark comparisons should account for the intervening progress.
DeepSeek Coder V2 has 16B/236B parameters, while Nemotron 3.5 Bolt E4B 4GB has 8B.
Direct benchmark comparisons are unavailable — DeepSeek Coder V2 and Nemotron 3.5 Bolt E4B 4GB don't publish scores on any of the same benchmarks.